Using CropSyst to Simulate Spring Wheat Growth in Black Soil Zone of Northeast China1
References (27)
- et al.
Spatial interpolation of soil physical properties for irrigation planning. A case study in Northern Italy
Eur. J. Agron.
(2003) - et al.
A preliminary evaluation of the simulation model CropSyst for alfalfa
Eur. J. Agron.
(2004) - et al.
Evaluation of CropSyst for cropping systems at two locations of northern and southern Italy
Eur. J. Agron.
(1997) - et al.
Statistical and graphical methods for evaluating solute transport models: Overview and application
J. Contam. Hydrol.
(1991) - et al.
Simulation of durum wheat (Triticum turgidum ssp. Durum) growth under different water and nitrogen regimes in a Mediterranean environment using CropSyst
Agric. Syst.
(1996) - et al.
Evaluating CropSyst simulations of wheat management in a wheat-fallow region of the US Pacific northwest
Agric. Syst.
(1998) Interaction between rainfall and nitrogen fertilization of wheat in environments prone to terminal drought: Economic and environmental risk analysis
Field Crops Res.
(2002)- et al.
CropSyst, a cropping system simulation model—water/nitrogen budgets and crop yield
Agric. Syst.
(1994) - et al.
Comparison of CropSyst performance for water management in southwestern France using submodels of different levels of complexity
Eur. J. Agron.
(1997) - et al.
Modeling crop nitrogen requirements: A critical analysis
Eur. J. Agron.
(1997)
CropSyst, a cropping system simulation model
Eur. J. Agron.
Application of GIS and crop growth models in estimating water productivity
Agric. Water Manag.
Increasing water use and water use efficiency in dryland wheat
Agron. J.
Cited by (18)
Dryland fallow vs flex-cropping decisions in inland Pacific Northwest of USA
2022, Agricultural SystemsCitation Excerpt :In high precipitation areas, soil texture is mainly silt loam while the textural sand percentage increases in the drier areas (Naffziger and Horner, 1958; Schillinger et al., 2006). CropSyst (Cropping Systems Simulation Model) is a process based, physiological, daily time step simulation model (Stockle et al., 1994; Stöckle et al., 2003) and has been used in iPNW and different parts of the world to simulate the effect of different management variables such as irrigation, soil water, nitrogen, organic matter, tillage and residue on crop growth and yield (Pala et al., 1996; Pannkuk et al., 1998; Wang et al., 2006; Benli et al., 2007). Recent enhancements to CropSyst allow it to be run in a regional context by facilitating it to rapidly create multiple scenarios over a spatial grid, to collate the results, and to run the scenarios in a parallel fashion in a high-performance computing environment (Stöckle et al., 2014).
Crop yields and N losses tradeoffs in a garlic-wheat rotation in southern Spain
2016, European Journal of AgronomyCitation Excerpt :In this study, we used computer simulation to evaluate the long-term tradeoffs between crop yield and N losses in garlic production in southern Spain, using a cropping system where this high-value, shallow-rooted crop is rotated with winter wheat, the latter serving the role of a catch crop while producing marketable yields. We used the cropping systems simulation model CropSyst (Stöckle et al., 1994, 2003), which has been extensively parameterized and evaluated for wheat (e.g., Stöckle and Campbell, 1989; Pala et al., 1996; Stöckle and Debaeke, 1997; Kemanian et al., 2005; Garofalo et al., 2009; Singh et al., 2013), and used in many applications involving wheat (e.g., Pannkuk et al., 1998; Wang et al., 2006; Singh et al., 2008; Sommer et al., 2012). However, no model development of CropSyst for garlic is currently available in the literature, and for that reason existing experimental information was used to parameterize and verify CropSyst for the simulation of garlic.
Vulnerability of Mediterranean Agricultural Systems to Climate: From Regional to Field Scale Analysis
2013, Climate Vulnerability: Understanding and Addressing Threats to Essential ResourcesSimulating water use and N response of winter wheat in the irrigated floodplains of Northwest Uzbekistan
2010, Field Crops ResearchMulti-metric evaluation of the models WARM, CropSyst, and WOFOST for rice
2009, Ecological ModellingOptimizing water resources allocation in the Haihe River basin under groundwater sustainability constraints
2019, Journal of Geographical Sciences
- 1
Project supported by the National Natural Science Foundation of China (No. 40401003), the Knowledge Innovation Program of the Chinese Academy of Sciences (No. KZCX3-SW-356), and the Key Laboratory of Ecological Restoration and Ecosystem Management of Jilin Province (No. DS2004–03).